Medical Imaging Review

What it does

When your agent uses it

• Writing survey papers
• Systematic reviews
• Literature analyses on topics like segmentation
• Classification in CT

Example prompts

• “review paper”
• “survey”
• “literature review”
• “/medical-imaging-review”

Requirements

• Pre-approved tools (allowed-tools): Read, Write, Edit, Glob, Grep, Bash, WebSearch, WebFetch, Task, mcp__arxiv-mcp-server__search_papers, mcp__arxiv-mcp-server__download_paper, mcp__arxiv-mcp-server__read_paper, mcp__pubmed-mcp-server__pubmed_search_articles, mcp__zotero__zotero_search_items, mcp__zotero__zotero_get_item_fulltext

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

1. 1Initialize project with three core files
2. 2Follow the 7-phase workflow (see references/WORKFLOW.md)
3. 3Use domain-specific templates (see references/DOMAINS.md)

What it can do on your machine

Read from SKILL.md and the folder at commit df5a498. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Write
  • Edit
  • Glob
  • Grep
  • Bash
  • WebSearch
  • WebFetch
  • Task
  • mcp__arxiv-mcp-server__search_papers

  …and 5 more on the same allowed-tools line.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Medical Imaging Review loads about 1.1k tokens when it runs, and up to ~5.9k if it reads all its reference files. Until then it costs about 114 tokens; SKILL.md has 190 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~114

When it runs · the whole SKILL.md, loaded when a task matches

~1.1k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~5.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: Read, Write, Edit, Glob, Grep, Bash, WebSearch, WebFetch, Task, mcp__arxiv-mcp-server__search_papers

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeonChaoX/qinyan-academic-skills at commit df5a498, republished under its MIT licence (© LeonChaoX). 190 words, ~1,118 tokens.

name

medical-imaging-review

description

Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging.

allowed-tools

Read, Write, Edit, Glob, Grep, Bash, WebSearch, WebFetch, Task, mcp__arxiv-mcp-server__search_papers, mcp__arxiv-mcp-server__download_paper, mcp__arxiv-mcp-server__read_paper, mcp__pubmed-mcp-server__pubmed_search_articles, mcp__zotero__zotero_search_items, mcp__zotero__zotero_get_item_fulltext

metadata.author

user

metadata.version

2.0.0

Topic sentence (main claim)
  → Supporting evidence (citations + data)
  → Analysis (critical evaluation)
  → Transition to next paragraph

# [Title]: State of the Art and Future Directions

## Key Points
- [3-5 bullets summarizing main findings]

## Abstract

## 1. Introduction
### 1.1 Clinical Background
### 1.2 Technical Challenges
### 1.3 Scope and Contributions

## 2. Datasets and Evaluation Metrics
### 2.1 Public Datasets (Table 1)
### 2.2 Evaluation Metrics

## 3. Deep Learning Methods
### 3.1 [Category 1]
### 3.2 [Category 2]
(Table 2: Method Comparison)

## 4. Downstream Applications

## 5. Commercial Products & Clinical Translation (Table 3)

## 6. Discussion
### 6.1 Current Limitations
### 6.2 Future Directions

## 7. Conclusion

## References

### 3.X [Method Category]

[1-2 paragraph introduction with motivation]

**[Method Name]:** [Author] et al. [ref] proposed [method], which [innovation]:
- [Key component 1]
- [Key component 2]
Achieves Dice of X.XX on [dataset].

**Limitations:** Despite advantages, [category] methods face:
(1) [limit 1]; (2) [limit 2].

# Data citation
"...achieved Dice of 0.89 [23]"

# Method citation
"Gu et al. [45] proposed..."

# Multi-citation
"Several studies demonstrated... [12, 15, 23]"

# Comparative
"While [12] focused on..., [15] addressed..."

© LeonChaoX, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in skills/02-科学写作与学术交流/medical-imaging-review of LeonChaoX/qinyan-academic-skills.

• SKILL.md
• references/DOMAINS.md
• references/MCP_SETUP.md
• references/QUALITY_CHECKLIST.md
• references/TEMPLATES.md
• references/WORKFLOW.md

Open the folder on GitHubat commit df5a498

Used in 3 other repositories

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in LeonChaoX/qinyan-academic-skills, which our catalogue first saw on October 7, 2026.

• FreedomIntelligence/OpenClaw-Medical-Skillsskills/medical-imaging-review
• brycewang-stanford/Auto-Empirical-Research-Skillsskills/02-luwill-research-skills/medical-imaging-review
• BioTender-max/awesome-bio-agent-skillsskills/openclaw/medical-imaging-review